Solera Holdings has introduced the latest iteration of Qapter, the company’s automotive claims workflow solution which is powered by artificial intelligence (AI). Solera says its AI technology provides a globally available end-to-end solution for full digitalisation of the modern claims workflow.
The company says its AI has the capability to detect damaged parts, determine the type and severity of damage, define appropriate vehicle manufacturer repair operations and create an estimate based on those operations. Automation tools improve the process of triage claims workflow, speed up reviews of damage photos, rapidly improve identification of total loss vehicles, and support identification of the next best action for repairable vehicles. These capabilities all save time, speed up the claims process and shorten the lifecycle of a claim for insurers, body repair centres, assessors and vehicle owners.
Solera says it is combining its repair science technology with over 300 million historical claims, one billion historical images and enhanced machine learning algorithms to drive efficiency and increase accuracy. The approach is intended to provide superior accuracy and performance compared to rudimentary standalone AI image recognition point solutions.
“Implementing AI will drive huge efficiency gains, but above all, the extent of such gains are determined by accuracy,” said Darko Dejanovic, CEO of Solera. “This accuracy depends on the quality, not just the quantity, of the data and images that are used to train the algorithms, as well as the supporting historical damage estimate. This historical data more thoroughly trains the algorithms, not simply on the repair itself, but also on the broader context of the damage.
“With leading claims platforms currently available throughout North America, Europe, Latin America and Asia Pacific, we are excited to provide even more value to our customers by making current platforms ‘smarter’ through the use of AI and supporting a seamless transition from existing solutions to the new platform. We’ll be working closely with our customers to deliver this functionality over the coming months and provide regular releases across markets.”